424 citations · 954 across the 37 of their papers we have counts for
37 papers
Edge of chaos as a guiding principle for modern neural network training
Lin Zhang, Ling Feng, Kan Chen +1
The success of deep neural networks in real-world problems has prompted many attempts to explain their training dynamics and generalization performance, but more guiding principles…
Optimal Machine Intelligence at the Edge of Chaos
Ling Feng, Lin Zhang, Choy Heng Lai
It has long been suggested that the biological brain operates at some critical point between two different phases, possibly order and chaos. Despite many indirect empirical evidenc…
Critical Transitions in Public Opinion: A Case Study of American Presidential Election
Ning Ning Chung, Lock Yue Chew, Choy Heng Lai
At the tipping point, it is known that small incident can trigger dramatic societal shift. Getting early-warning signals for such changes are valuable to avoid detrimental outcomes…
From sparse to dense and from assortative to disassortative in online social networks
Menghui Li, Shuguang Guan, Chensheng Wu +5
Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create lin…
A coevolving model based on preferential triadic closure for social media networks
Menghui Li, Hailin Zou, Shuguang Guan +4
The dynamical origin of complex networks, i.e., the underlying principles governing network evolution, is a crucial issue in network study. In this paper, by carrying out analysis…
Efficient routing on multilayered communication networks
Jie Zhou, Gang Yan, Choy-Heng Lai
We study the optimal routing on multilayered communication networks, which are composed of two layers of subnetworks. One is a wireless network, and the other is a wired network. W…